Technology Partner
Vapi is one of the leading voice agent platforms, and Deepgram provides the speech layer inside it. Builders who pick Vapi to ship a production voice agent get Deepgram's Nova-3 STT, Flux for conversational turn detection, and Aura-2 TTS as native model options, configured in a few clicks rather than a custom integration.
Vapi handles 62M+ calls monthly with 99.99% uptime, making it the proven choice for enterprises requiring scale across voice, SMS, and chat. Deepgram is integrated for its speed and human-like voice quality, and powers the STT and TTS surface that real production voice agents depend on.
Voice agent quality lives in the speech layer. The transcription needs to handle interruptions, background noise, accents, and the alphanumeric read-back that real conversations include. The TTS needs to sound natural at low enough latency that the caller does not notice. Deepgram's voice-native foundational models are built specifically for those requirements, and Vapi exposes them as the platform's recommended models for production agents.
The pattern: a developer picks Vapi to handle orchestration (transport, interruption, tool calls, state), picks Deepgram models for STT and TTS, drops in an LLM, and ships a working voice agent in hours. For latency-critical or regulated workloads, the same Vapi configuration runs against Deepgram's self-hosted runtime, keeping audio inside the customer's environment.
If you are building a voice agent on Vapi and want production-grade speech, Deepgram is the default. Resources below.

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